Robotics, Automation and Design

Robotics, Automation, and Design merges research from multiple areas of science and engineering. Topics include the design of robotic and automation system hardware and software, particularly for tasks that require some level of autonomy, intelligence, self-prognostics and decision making. Such capabilities are built upon integrated mechatronic systems that enable pro-active system responses to its environment and current state. These capabilities are applied in applications such as advanced robotics and manufacturing systems. Research in this division explores the science underlying the design process, implementation of mechanical and control systems to enable autonomy, and innovative computational analysis for automation, intelligence and systems optimization.

• Robotics (hardware and software)
• Intelligence Machines
• Advance automation and robotics in key industries
• Design of robotic systems for hazardous situations/environments
• Develop computational technologies that embed intelligence for fault detection and condition-based maintenance / prognostics
• Couple advanced computational technologies with engineering design methodologies
• Robots and Intelligent Machines
• Mining Robotics
• Intelligent Sensing Systems
• Machine Health Monitoring
• Computational Design Methodologies
• Intelligent Robotics, Automation & Manufacturing
• Nonlinear Design Optimization Methods
• Deterministic & Probabilistic Metamodeling
• Condition-Based Maintenance

• A baccalaureate degree in engineering, computer science, a physical science, or mathematics with a minimum grade-point average of 3.0 or better on a 4.0 scale;
• Graduate Record Examination (Quantitative Reasoning)section score of 160 or higher. Applicants from an engineering program at CSM are not required to submit GRE scores;
• TOEFL score of 79 or higher or (550 or higher paper-based or 213 computer-based) for applicants whose native language is not English.